Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 2.6 * weight - 141
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MUSIE Saymon | 59 |
| 4 | CLAIN Médéric | 59 |
| 8 | AMANUEL Meron | 63 |
| 29 | VERSTRAETEN Jari | 67 |
| 40 | VAN COUTER Stein | 65 |
| 51 | NOBEL Rick | 78 |
| 55 | JANSEN Tom | 63 |
| 59 | AKANGA Abdou Raouf | 67 |
| 71 | VERDIJCK Niels | 79 |